code: def test_fast_tokenizer_with_examples(caplog, model_name):
      fast_tokenizer = Tokenizer.load(
          model_name, lower_case=False, use_fast=True
      )
      tokenizer = Tokenizer.load(
          model_name, lower_case=False, use_fast=False
      )
  
      for text in TEXTS:
          # plain tokenize function
          tokenized = tokenizer.tokenize(text)
          fast_tokenized = fast_tokenizer.tokenize(text)
  
          assert tokenized == fast_tokenized
  
file_path: FARM/test/test_tokenization.py
imports: import logging
  import pytest
  import re
  from transformers import BertTokenizer, BertTokenizerFast, RobertaTokenizer, RobertaTokenizerFast, XLNetTokenizer, XLNetTokenizerFast, ElectraTokenizerFast
  from tokenizers.pre_tokenizers import WhitespaceSplit
  from farm.modeling.tokenization import Tokenizer, tokenize_with_metadata, truncate_sequences
  import numpy
label_desc: Use image node_id 5 for calling a global function with example usage: test_fast_tokenizer_with_examples(caplog, model_name) without return types